Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits.
bioRxiv
; 2023 Oct 17.
Article
en En
| MEDLINE
| ID: mdl-37905013
ABSTRACT
Inference of directed biological networks is an important but notoriously challenging problem. We introduce inverse sparse regression (inspre), an approach to learning causal networks that leverages large-scale intervention-response data. Applied to 788 genes from the genome-wide perturb-seq dataset, inspre helps elucidate the network architecture of blood traits.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Idioma:
En
Revista:
BioRxiv
Año:
2023
Tipo del documento:
Article
País de afiliación:
Estados Unidos